
Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch

About Leena AI
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Designation: Python Developer
Experienced in AI/ML
Location: Turbhe, Navi Mumbai
CTC: 6-12 LPA
Years of Experience: 2-5 years
At Arcitech.ai, we’re redefining the future with AI-powered software solutions across education, recruitment, marketplaces, and beyond. We’re looking for a Python Developer passionate about AI/ML, who’s ready to work on scalable, cloud-native platforms and help build the next generation of intelligent, LLM-driven products.
💼 Your Responsibilities
AI/ML Engineering
- Develop, train, and optimize ML models using PyTorch/TensorFlow/Keras.
- Build end-to-end LLM and RAG (Retrieval-Augmented Generation) pipelines using LangChain.
- Collaborate with data scientists to convert prototypes into production-grade AI applications.
- Integrate NLP, Computer Vision, and Recommendation Systems into scalable products.
- Work with transformer-based architectures (BERT, GPT, LLaMA, etc.) for real-world AI use cases.
Backend & Systems Development
- Design, develop, and maintain robust Python microservices with REST/GraphQL APIs.
- Implement real-time communication with Django Channels/WebSockets.
- Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
- Configure and manage AWS (EC2, S3, RDS, SageMaker, CloudWatch) for AI/ML workloads.
Reliability & Automation
- Develop background task queues with Celery, ensuring smart retries and monitoring.
- Implement CI/CD pipelines for automated model training, testing, and deployment.
- Write automated unit & integration tests (pytest/unittest) with ≥80% coverage.
Collaboration
- Contribute to MLOps best practices and mentor peers in LangChain/AI integration.
- Participate in tech talks, code reviews, and AI learning sessions within the team.
🎓 Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
- 2–5 years of experience in Python development with strong AI/ML exposure.
- Hands-on experience with LangChain for building LLM-powered workflows and RAG systems.
- Deep learning experience with PyTorch or TensorFlow.
- Experience deploying ML models and LLM apps into production systems.
- Familiarity with REST/GraphQL APIs and cloud platforms (AWS/Azure/GCP).
- Skilled in Git workflows, automated testing, and CI/CD practices.
🌟 Nice to Have
- Experience with vector databases (Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
- Knowledge of LLM fine-tuning, prompt engineering, and evaluation frameworks.
- Familiarity with Airflow/Prefect/Dagster for data and model pipelines.
- Background in statistics, optimization, or applied mathematics.
- Contributions to AI/ML or LangChain open-source projects.
- Experience with model monitoring and drift detection in production.
🎁 Why Join Us
- Competitive compensation and benefits 💰
- Work on cutting-edge LLM and AI/ML applications 🤖
- A collaborative, innovation-driven work culture 📚
- Opportunities to grow into AI/ML leadership roles 🚀
Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)
You will be responsible for:
- Building Python scripts to deploy our AI components into pipeline and production
- Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
- Managing our daily pipeline on both on-premise servers and AWS
- Working closely with the AI engineering, backend and frontend teams
You should have the following qualities:
- Deep expertise in Python including:
- Multiprocessing / multithreaded applications
- Class-based inheritance and modules
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
- Optimal multithreading / multiprocessing strategies
- Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
- Experience in creating soft real-time processing tasks is a plus
- Expertise in Docker-based virtualization including:
- Creating & maintaining custom Docker images
- Deployment of Docker images on cloud and on-premise services
- Experience with maintaining cloud applications in AWS environments
- Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
- Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
- Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
- Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Ideally a gamer or someone interested in watching gaming content online
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 4 years to 8 years
About Sizzle
Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg.
Your responsibilities as a backend engineer will include:
- Back-end software development
- Software engineering and designing data models and write effective APIs
- Working together with engineers and product teams
- Understanding business use cases and requirements for different internal teams
- Maintenance of existing projects and New feature development
- Consume and integrate classifier/ ML snippets from Data science team
What we are looking for:
- 4+ years of industry experience with the Python and Django framework.
- Degree in Computer Science or related field
- Good analytical skills with strong fundamentals of data structures and algorithms
- Experience building backend services with hands-on experience through all stages of Agile software development life cycle.
- Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
- Experience with Databases (Relational and Non-Relational). Ex: Cassandra, MongoDB, Postgresql
- Experience with writing REST-APIs.
- Prototyping initial collection and leveraging existing tools and/or creating new tools
- Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
- Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
- A positive attitude, and a growth mindset
Bonus:
- Experience with relevant Python libraries such as Sklearn, NLTK, tensorflow, HuggingFace Transformers
- Hands on experience in Machine learning implementations
- Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
- Good with Humor and Team player
We are looking for a Node.js Developer who is proficient with writing API's, working with data, using AWS and capable of applying algorithms mainly machine learning-based to solve problems and create/modify features for our students. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.
Responsibilities
- Integration of user-facing elements developed by front-end developers with server-side logic
- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Implementation of security and data protection
- Use of algorithms to drive data analytics and features.
- Ability to use AWS to solve scale issues.
Apply if you can only arrive for a face to face interview in Bangalore.









